Top Benefits Creating Value from Big ParAccel and …...PARACCE ANATIC PATFORM Creating Value from...
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PARACCEL ANALYTIC PLATFORM Creating Value from Big Data Analytics and Hadoop Information is exploding at extraordinary rates and companies are struggling to keep up using traditional analytic approaches. More organizations are turning to Hadoop to handle the increase in big data such as social data, digital media, and machine or sensor- generated data. As IT teams stand up their Hadoop clusters and realize the amount of work necessary to run analytics in a dynamic environment, they are looking for ways to speed time to analytic value and keep up with changing environments. Many companies also hope to leverage existing investments in SQL-based business intelligence and analytics tools, which turns out to be challenging in many Hadoop environments. As early adopters can attest, it can take much longer than expected to get real analytic value from Hadoop. ParAccel and Hadoop Cooperative Processing ParAccel technology was built to support coop- erative analytic processing – where workloads naturally gravitate to the platform that handles them best. Hadoop is great for archiving, filter - ing, transformation, text analytics, and batch analytics. But doing sophisticated analytics on Hadoop requires a major coding effort to enable multiple scans of the data, create complex joins, and aggregate the results. And, since SQL cannot be used directly on Hadoop, analysts often cannot get what they need from big data without development help or training. On the other hand, ParAccel’s Analytic Platform was created to handle complex analytics on massive amounts of data, with amazing speed. To collaborate within hybrid environments, ParAccel built On Demand Integration (ODI) modules, providing on-the-fly access to Hadoop, data warehouses, other databases, streaming data and any other data source, via ODI services Hadoop On Demand Integration ParAccel Analytic Platform is the value creation center for big data typically stored in platforms like Hadoop. Parallel, bi-directional integration between ParAccel and Hadoop enables cooperative analytic processing, leveraging the data and analytic functions of both sys- tems. Built to run deep analytics on massive amounts of data across systems, ParAccel comes ready to be an extension of Hadoop for big data analytics. Top Benefits u Accelerate. Speed time to value, reduce costs and decrease the complexity of analyzing big data with ParAccel’s On Demand Integration with Hadoop. u Innovate. Increase analytic sophistication by using ParAccel to leverage the data and analytical power of all of the systems in your environment, including Hadoop. u Compete. Gain a competitive edge with ParAccel’s On Demand Integration modules enabling a dynamic analytic environment that helps you quickly respond to change, risk and opportunity.
Transcript of Top Benefits Creating Value from Big ParAccel and …...PARACCE ANATIC PATFORM Creating Value from...
PARACCEL ANALYTIC PLATFORM
Creating Value from Big Data Analytics and HadoopInformation is exploding at extraordinary rates and companies are struggling to keep up using traditional analytic approaches. More organizations are turning to Hadoop to handle the increase in big data such as social data, digital media, and machine or sensor-generated data.
As IT teams stand up their Hadoop clusters and realize the amount of work necessary to run analytics in a dynamic environment, they are looking for ways to speed time to analytic value and keep up with changing environments.
Many companies also hope to leverage existing investments in SQL-based business intelligence and analytics tools, which turns out to be challenging in many Hadoop environments. As early adopters can attest, it can take much longer than expected to get real analytic value from Hadoop.
ParAccel and Hadoop Cooperative ProcessingParAccel technology was built to support coop-erative analytic processing – where workloads naturally gravitate to the platform that handles them best. Hadoop is great for archiving, filter-ing, transformation, text analytics, and batch analytics. But doing sophisticated analytics on Hadoop requires a major coding effort to enable multiple scans of the data, create complex joins, and aggregate the results. And, since SQL cannot be used directly on Hadoop, analysts often cannot get what they need from big data without development help or training.
On the other hand, ParAccel’s Analytic Platform was created to handle complex analytics on massive amounts of data, with amazing speed. To collaborate within hybrid environments, ParAccel built On Demand Integration (ODI) modules, providing on-the-fly access to Hadoop, data warehouses, other databases, streaming data and any other data source, via ODI services
Hadoop On Demand Integration
ParAccel Analytic Platform is the value creation center for big data typically stored in platforms like Hadoop. Parallel, bi-directional integration between ParAccel and Hadoop enables cooperative analytic processing, leveraging the data and analytic functions of both sys-tems. Built to run deep analytics on massive amounts of data across systems, ParAccel comes ready to be an extension of Hadoop for big data analytics.
Top Benefitsu Accelerate.
Speed time to value, reduce costs and decrease the complexity of analyzing big data with ParAccel’s On Demand Integration with Hadoop.
u Innovate. Increase analytic sophistication by using ParAccel to leverage the data and analytical power of all of the systems in your environment, including Hadoop.
u Compete. Gain a competitive edge with ParAccel’s On Demand Integration modules enabling a dynamic analytic environment that helps you quickly respond to change, risk and opportunity.
PARACCEL ANALYTIC PLATFORM
u Bi-Directional Data & Processes
u Node-to-Node Integration
u High Performance
Cooperative Analytic Processing Between ParAccel and Hadoop
Hadoop On Demand IntegrationCreating Value from Big Data Analytics and Hadoop
For more information please contact us at [email protected] or call 866.903.0335
www.ParAccel.com
Cooperative Analytic Processing: ParAccel integrates with Hadoop at the MapReduce level to share analytic processing of complex analyt-ics between systems. This enables analysts to take advantage of a growing set of functionality built specifically for Hadoop – for instance sta-tistical functions written in R, or a custom-built sentiment analysis function.Parallel, Bi-Directional Integration: ParAccel’s innovative ODI facilitates parallel, bi-directional sharing of data and analytic processes between Hadoop and ParAccel Analytic Platform. This means that queries might be run in ParAccel or Hadoop, depending on which is most efficient. This opens the door to more sophisticated use of all the analytic firepower – rather than rel-egating Hadoop to a batch-processing engine for unstructured data. HCatalog Integration: ParAccel is integrated with Apache HCatalog, the primary table and storage management layer for Hadoop. This unique integration helps ParAccel more efficiently access data in HDFS tables for ana-lytics, which translates to faster performance for complex queries on Hadoop data. Simplified SQL Access: Analysts can quickly incorporate Hadoop into their analysis through standard SQL and existing business intelligence or visualization tools. This enables companies to expand their reach to include more analysts and more data, without retraining analysts on complicated open-source technology or new tools.
On Demand Access: ParAccel retrieves analytic results and data sets from Hadoop right at query time. This inline access ensures that analysts have access to the most current data available, capturing emerging trends as they happen. Extended Collaboration: The Hadoop ODI is just one of a growing family of ODI modules, giving ParAccel users easy analytical access to corporate data warehouses, data marts, operational systems, and streaming data. This cooperative processing approach brings high-performance analytics to a combination of Hadoop, corporate information, stream-ing data, and high value analytic data already stored in ParAccel.High Performance: All ParAccel ODI modules are built using ParAccel Extensibility Frame-work, a software layer that exposes the power of the analytic database to outside data. As a result, big data analytics leverage all the power of the underlying execution engine and the massively parallel data loading and processing capabilities.Connect to Any Data Source: ParAccel’s On Demand Integration Services provide a simple API that developers can use to connect to any data source. Custom ODIs may be written any mainstream programming language to connect to any data source to exchange data or analytic processing with the ParAccel platform. Import, transform or export any data to leverage data and analytic processing capa-bilities across available systems.
ABOUT PARACCEL, INC. ParAccel is the leading Analytic Platform provider. Our high-performance, interactive platform creates an environment for unconstrained analytics where companies ask the most sophisticated questions against the entire datasphere, including big data.
The ParAccel Hadoop On Demand Integration (ODI) module is designed to work with all popular Hadoop distributions, including Cloudera. The Hadoop ODI uses both SQL and user defined functions to combine data from Hadoop with data in ParAccel for greater analytic value. The same module allows analysts to initiate a MapReduce job, have Hadoop run basic analytics, and combine the results with results with data in ParAccel or other systems. This cooperative analytic processing architecture leverages the data and processing power of all available analytic systems for maximum performance.
